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Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton
A fun, hackable, GPU-accelerated, neural network library in Rust, written by an idiot
Zero-Shot Speech Editing and Text-to-Speech in the Wild
Implementation of Conditional ViT on LAION — Referred Visual Search — Fashion
Deep learning library implemented from scratch in numpy. Mixtral, Mamba, LLaMA, GPT, ResNet, and other experiments.
This repo covers Kubernetes with LABs: Kubectl, Pod, Deployment, Service, PV, PVC, Rollout, Multicontainer, Daemonset, Taint-Toleration, Job, Ingress, Kubeadm, Helm, etc.
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
Teaching material for the course "Deep Learning for Music Analysis and Generation" I taught at National Taiwan University (2023 Fall)
An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io
A course to build distributed key-value service based on TiKV model
ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)
An unofficial PyTorch implementation of the audio LM VALL-E
Training and serving large-scale neural networks with auto parallelization.
Open-Source Information Retrieval Courses @ TU Wien
A tutorial of building an LSM-Tree storage engine in a week!
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
This repository is part of a "Machine Learning from Scratch" seminar at Harvard Medical School.
☕ A practical event-driven microservices demo built with Golang. Nomad, Consul Connect, Vault, and Terraform for deployment
7 days golang programs from scratch (web framework Gee, distributed cache GeeCache, object relational mapping ORM framework GeeORM, rpc framework GeeRPC etc) 7天用Go动手写/从零实现系列
Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.
A collection of resources and papers on Diffusion Models
A multi-voice TTS system trained with an emphasis on quality
A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF
Notes on books I read, talks I watch, articles I study, and papers I love